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ML
2002
ACM
114views Machine Learning» more  ML 2002»
15 years 4 months ago
Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts
The execution order of a block of computer instructions on a pipelined machine can make a difference in running time by a factor of two or more. Compilers use heuristic schedulers...
Amy McGovern, J. Eliot B. Moss, Andrew G. Barto
INFOCOM
2010
IEEE
15 years 3 months ago
Opportunistic Spectrum Access with Multiple Users: Learning under Competition
Abstract—The problem of cooperative allocation among multiple secondary users to maximize cognitive system throughput is considered. The channel availability statistics are initi...
Animashree Anandkumar, Nithin Michael, Ao Tang
140
Voted
CIKM
2010
Springer
15 years 2 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
141
Voted
HCI
2009
15 years 2 months ago
User Centered Design of a Learning Object Repository
This work outlines the design process of a user centered learning object repository. A repository should foster the development and acquisition of both generic and specific informa...
Núria Ferran, Ana-Elena Guerrero-Rold&aacut...
ICCV
2009
IEEE
15 years 2 months ago
Efficient multi-label ranking for multi-class learning: Application to object recognition
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
Serhat Selcuk Bucak, Pavan Kumar Mallapragada, Ron...